TY  - INPR
A1  - Versley, Yannick
A2  - Baroni, Marco
A2  - Evert, Stefan
A2  - Lenci, Alessandro
T1  - Decorrelation and shallow semantic patterns for distributional clustering of nouns and verbs
N2  - Distributional approximations to lexical semantics are very useful not only in helping the creation of lexical semantic resources (Kilgariff et al., 2004; Snow et al., 2006), but also when directly applied in tasks that can benefit from large-coverage semantic knowledge such as coreference resolution (Poesio et al., 1998; Gasperin and Vieira, 2004; Versley, 2007), word sense disambiguation (Mc- Carthy et al., 2004) or semantical role labeling (Gordon and Swanson, 2007). We present a model that is built from Webbased corpora using both shallow patterns for grammatical and semantic relations and a window-based approach, using singular value decomposition to decorrelate the feature space which is otherwise too heavily influenced by the skewed topic distribution of Web corpora.
Y1  - 2009
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/11884
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-1128354
UR  - http://www.lingexp.uni-tuebingen.de/sfb441/a1/Publikationen/distsem08.pdf
N1  - Erschienen in: Marco Baroni ; Stefan Evert ; Alessandro Lenci (Hrsg.): Proceedings of the ESSLLI Workshop on Distributional Lexical Semantics Bridging the gap between semantic theory and computational simulations, ESSLLI 2008, Hamburg, Germany, 4–9 August 2008, S. 55-62
ER  -